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AI Cloud Data Pulse Profile
AI Cloud Data Pulse

@AICloudData

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Exploring the frontiers of AI and Big Data. Insights, guides, and trends from https://t.co/sQ48Y8SgwD. #AI #BigData #DataAnalytics

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Joined January 2025
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@AICloudData
AI Cloud Data Pulse
6 hours
πŸ“˜ Full breakdown with examples + when add-ons earn their keep: https://t.co/2c8JpRYhBi
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@AICloudData
AI Cloud Data Pulse
6 hours
✦ Cost control = engineering discipline. Fix noisy workloads Filter low-value findings Scope GuardDuty to the accounts that matter
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@AICloudData
AI Cloud Data Pulse
6 hours
✦ Add-ons matter. S3 Protection + EKS Runtime Monitoring Useful β€” but only for high-value workloads. Enable selectively.
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@AICloudData
AI Cloud Data Pulse
6 hours
✦ DNS is the hidden source of noise. Microservices + service discovery = constant queries Chatty workloads = inflated GuardDuty spend
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@AICloudData
AI Cloud Data Pulse
6 hours
✦ CloudTrail is the silent cost multiplier. CI/CD bursts Automation loops Misconfigured scripts Federated access patterns All create massive API spikes.
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@AICloudData
AI Cloud Data Pulse
6 hours
✦ It’s not findings β€” it’s ingestion. GuardDuty bills based on: ⟐ VPC Flow Logs analyzed ⟐ CloudTrail event volume ⟐ DNS query traffic High-volume environments = high bills.
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@AICloudData
AI Cloud Data Pulse
6 hours
πŸ’‘ GuardDuty pricing explained (thread) Most teams overspend because they misunderstand where the costs actually come from. Let’s break down the real drivers. πŸ§΅πŸ‘‡
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@AICloudData
AI Cloud Data Pulse
1 day
πŸ”₯ GuardDuty pricing isn’t as simple as it looks. Most teams think findings drive the bill… but it’s actually log ingestion doing the heavy lifting. ➀ VPC Flow Logs ➀ CloudTrail bursts ➀ DNS chatter ➀ Add-on modules I just published a breakdown on the real cost drivers. πŸ“Œ
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@AICloudData
AI Cloud Data Pulse
4 days
When managing AWS CloudTrail logs, which is your top priority? β—Ž Encryption & Key Management β—Ž Cost Optimization β—Ž Querying & Analytics β—Ž Compliance & Retention Comment if you handle all four πŸ‘‡ #AWS #CloudTrail #CloudSecurity #AICDP
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@AICloudData
AI Cloud Data Pulse
6 days
High-cardinality dimensions don’t just clutter dashboards β€” they multiply your CloudWatch bill. Here’s a simple visual showing bad vs good dimension patterns πŸ‘‡ (attach infographic) Full breakdown: πŸ”— https://t.co/8vdAZZnUqB ✦ Which dimension mistake have you run into the
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@AICloudData
AI Cloud Data Pulse
7 days
β—† Integrate with Security Hub + Detective for correlation + investigation at scale.
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@AICloudData
AI Cloud Data Pulse
7 days
β—† Automate response with EventBridge + Lambda to cut reaction time dramatically.
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@AICloudData
AI Cloud Data Pulse
7 days
β—† Turn on Malware Protection β€” EBS volumes and containers are high-risk surfaces.
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@AICloudData
AI Cloud Data Pulse
7 days
β—† Enable every data source: CloudTrail, VPC Flow Logs, DNS, EKS Audit/Runtime, and S3 protection.
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@AICloudData
AI Cloud Data Pulse
7 days
β—† Multi-account setup is essential β€” GuardDuty must be centralized and enforced across all org accounts.
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@AICloudData
AI Cloud Data Pulse
7 days
πŸ“š New blog post: AWS GuardDuty Best Practices Here’s what matters most when securing real AWS environments ⬇️
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@AICloudData
AI Cloud Data Pulse
8 days
πŸ”₯ AWS GuardDuty isn’t just a β€œnice to have”—it’s the backbone of real cloud threat detection. Today I break down how to configure it properly for multi-account, multi-region environments. Read the full deep dive ⬇️ https://t.co/NaIrurVuQb #AWS #GuardDuty #AWSSecurity
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aiclouddatapulse.com
Explore AWS GuardDuty best practices for smarter threat detection, effective findings management, and stronger AWS cloud security.
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@AICloudData
AI Cloud Data Pulse
13 days
ee how AWS CloudTrail integrates with S3, KMS, CloudWatch, and Athena for complete visibility πŸ” πŸ“Š CloudTrail β†’ S3 β†’ KMS β†’ CloudWatch β†’ Security Hub β†’ Athena Full deep dive πŸ‘‡ πŸ”— https://t.co/FasfPF36dY #AWS #CloudTrail #S3 #Athena #SecurityArchitecture #AICDP
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@AICloudData
AI Cloud Data Pulse
14 days
Deep dive here: πŸ”—
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